| 长波红外偏振图像信息的提取与增强 |
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| 引用本文： | 邱跳文,张焱,李吉成,杨卫平. 长波红外偏振图像信息的提取与增强[J]. 红外, 2014, 35(5): 13-18 |
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| 作者姓名： | 邱跳文 张焱 李吉成 杨卫平 |
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| 作者单位： | 国防科学技术大学电子科学与工程学院ATR国防科技重点实验室 湖南 长沙 410073,国防科学技术大学电子科学与工程学院ATR国防科技重点实验室 湖南 长沙 410073,国防科学技术大学电子科学与工程学院ATR国防科技重点实验室 湖南 长沙 410073,国防科学技术大学电子科学与工程学院ATR国防科技重点实验室 湖南 长沙 410073 |
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| 基金项目： | 国家自然科学基金(61302145、61101185) |
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| 摘 要： | 基于长波红外偏振成像探测技术在目标检测识别领域的优势,本文搭建了长波红外偏振成像探测系统,采集了室内外典型目标的长波红外偏振图像,提取了三类典型目标的斯托克斯矢量、偏振度、偏振角以及两个组合特征δ与ρ等图像信息,并对其特点进行了详细分析。基于对图像偏振信息的解算,提出了一种目标背景对比度增强方法。实验证明该方法可行且有效。
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| 关 键 词： | 长波红外 红外偏振图像 信息提取 对比度增强 |
| 收稿时间： | 2013-03-25 |
| 修稿时间： | 2014-04-02 |
Extraction and Enhancement of Information about LWIR Polarization Image |
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| QIU Tiao-wen,ZHANG Yan,YANG Wei-ping and LI Ji-cheng. Extraction and Enhancement of Information about LWIR Polarization Image[J]. Infrared, 2014, 35(5): 13-18 |
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| Authors: | QIU Tiao-wen ZHANG Yan YANG Wei-ping LI Ji-cheng |
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| Affiliation: | ATR Key Laboratory under College of Electronic Science and Engineering,National University of Defense Technology,Changsha,ATR Key Laboratory under College of Electronic Science and Engineering,National University of Defense Technology,Changsha,ATR Key Laboratory under College of Electronic Science and Engineering,National University of Defense Technology,Changsha,ATR Key Laboratory under College of Electronic Science and Engineering,National University of Defense Technology,Changsha |
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| Abstract: | On the basis of advantages of Long Wave Infrared （LWIR） polarization imaging in the field of target detection and recognition, a LWIR polarization imaging detection system is built. The LWIR polarization images of some typical indoor and outdoor objects are collected by the system. The image information of three kinds of targets, such as Stokes vectors （I, Q, U）, degree of linear polarization, angle of polarization and two combined features δ and ρ, is extracted. Their characteristics are analyzed in detail. A new method for enhancing target-background contrast based on the infrared polarization information obtained is proposed. The experimental result shows that the method is feasible and effective. |
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| Keywords: | LWIR infrared polarization image information extraction contrast |
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